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Health Plan Choice and Premiums in the 2017

Health Plan Choice and Premiums in the 2017 Health Insurance Marketplace

This issue brief presents analysis of Qualified Health Plan (QHP) data in the individual market Marketplace for states that use the HealthCare.gov Marketplace platform and State-Based Marketplaces where data is available.  It examines plan affordability in 2017 after taking into account premium tax credits and also examines the plan choices that
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Marketplace Enrollment Projections for 2017

Health Insurance Marketplace Enrollment Projections for 2017

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Factors Driving Pharmaceutical Expenditures: An

Factors Driving Pharmaceutical Expenditures: An Overview

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People Who Currently Buy Individual Market

People Who Currently Buy Individual Market Coverage Could Be Eligible for ACA Subsidies

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Notes

Eligible Uninsured African Americans: 6 in 10 Could Receive Health Insurance Marketplace Tax Credits, Medicaid or CHIP. Notes

1 ASPE tabulations from the CY 2011 American Community Survey Public Use Microdata Sample (ACS PUMS) are adjusted to exclude estimated undocumented persons based on ASPE’s TRIM3 microsimulation model. All references to eligible uninsured in this brief use these tabulations. See the methodology section for more information. For more information
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Methodological Overview and Study Limitations

Eligible Uninsured African Americans: 6 in 10 Could Receive Health Insurance Marketplace Tax Credits, Medicaid or CHIP. Methodological Overview and Study Limitations

This analysis is based on ASPE analysis of the 2011 American Community Survey Public Use Microdata Sample (ACS PUMS), the best source for obtaining information about the current characteristics of the uninsured population at the state level and for smaller demographic groups. ASPE tabulations from the ACS PUMS have been adjusted to exclude estimat
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African Americans by Location

Eligible Uninsured African Americans: 6 in 10 Could Receive Health Insurance Marketplace Tax Credits, Medicaid or CHIP. African Americans by Location

By State  — As noted earlier, eligible uninsured African Americans are generally concentrated in Southern states. Nearly two-fifths (38 percent) live in Florida, Georgia, Louisiana, North Carolina, and Texas. Table 3 shows the number of eligible African Americans and those who are uninsured in all 50 states and the District of Columbia.
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African Americans and Medicaid

Eligible Uninsured African Americans: 6 in 10 Could Receive Health Insurance Marketplace Tax Credits, Medicaid or CHIP. African Americans and Medicaid

Many uninsured African Americans may be eligible for coverage through Medicaid or the Children’s Health Insurance Program (CHIP) at little or no cost. About 1.4 million eligible uninsured African American adults (21 percent of all eligible uninsured African Americans) who reside in states expanding their Medicaid programs may be eligible for Med
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African Americans and the Marketplace

Eligible Uninsured African Americans: 6 in 10 Could Receive Health Insurance Marketplace Tax Credits, Medicaid or CHIP. African Americans and the Marketplace

Each state has a Health Insurance Marketplace where consumers can shop for and purchase health insurance coverage. In states that are expanding Medicaid, individuals and families with household incomes from 138 to 400 percent of the FPL may be eligible for tax credits to make health insurance even more affordable. In states that do not expand Medi
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Footnotes

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Footnotes

1 2006 Blue Book, United States Department of the Treasury, February, 2006. 2 HDHP stands for High Deductible Health Plan.  This plan design generally has a substantial deductible and/or coinsurance requirement that must be met before catastrophic health insurance is activated for medical care reimbursement.
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Appendix A8 – Low Option PPO Health Care

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A8 – Low Option PPO Health Care Expenditure Model (SAS Output)

Source DF Sum of Squares Mean Square F Value Pr > F The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A7 – Medium Option PPO Health Care

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A7 – Medium Option PPO Health Care Expenditure Model (SAS Output)

Source DF Sum of Squares Mean Square F Value Pr > F The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A6 – High Option PPO Health Care

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A6 – High Option PPO Health Care Expenditure Model (SAS Output)

Source DF Sum of Squares Mean Square F Value Pr > F The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A5 – High Option HRA Health Care

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A5 – High Option HRA Health Care Expenditure Model (SAS Output)

Source DF Sum of Squares Mean Square F Value Pr > F The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A4 – Low Option HRA Health Care

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A4 – Low Option HRA Health Care Expenditure Model (SAS Output)

Source DF Sum of Squares Mean Square F Value Pr > F The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A3 – HMO Health Care Expenditure Model (

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A3 – HMO Health Care Expenditure Model (SAS Output)

The REG Procedure Model: MODEL1 Dependent Variable: Total_Allowed_Amount Weight: Plan_Distribution_Weight Analysis of Variance
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Appendix A2: Plan Choice Regression Results

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A2: Plan Choice Regression Results

Variable Definition from SAS program in Appendix A1
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Appendix A1: Plan Choice Regression Model (SAS

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . Appendix A1: Plan Choice Regression Model (SAS Program Code)

LINR_PRED= 
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D. Health Care Expenditures Model

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . D. Health Care Expenditures Model

Multivariate linear regression models were used to predict health plan expenditures by plan type. The regression results to predict expenditures are presented in Tables A3 to A8.
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C. Plan Choice Model

Continuation of Research on Consumer Directed Health Plans: HSA Simulation Model Refinement . C. Plan Choice Model

A multi-nominal logistic regression was used to create the plan choice estimates.  These were all new estimates that included claims based measures of chronic illness.  The plan choice equation applied to MEPS, along with the intercept terms for the turned down population and the uninsured, is presented in Table A1.  The regression coefficients

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